Seeking multiple optima simultaneously, which multimodal optimization aims at, has
attracted increasing attention but remains challenging. Taking advantage of ant colony …

The use of surrogate models is a standard method for dealing with complex real-world
optimization problems. The first surrogate models were applied to continuous optimization …

As one of the classical problems in the economic market, the newsvendor problem aims to
make maximal profit by determining the optimal order quantity of products. However, the …

Multimodal optimization problem (MMOP), which targets at searching for multiple optimal
solutions simultaneously, is one of the most challenging problems for optimization. There …

Automated design of job shop scheduling rules using genetic programming as a hyper-
heuristic is an emerging topic that has become more and more popular in recent years. For …

This paper introduces an original algebraic approach to differential evolution (DE)
algorithms for combinatorial search spaces. An abstract algebraic differential mutation for …

With the evolution of the industry, the production process becomes a large-scale problem
that made scheduling jobs process as a combinatorial optimization problem. The most …

Abstract An Intrusion Detection System (IDS) is a security mechanism that is intended to
dynamically inspect traffic in order to detect any suspicious behaviour or launched attacks …

Abstract The Vehicle Routing Problem (VRP) seeks to find minimum-travel routes for a set of
vehicles. The routes contain a set of customers with known demands. Each vehicle departs …

A colored traveling salesman problem (CTSP) is a generalization of the well-known multiple
traveling salesman problem. In our prior CTSP, each salesman is allocated a particular color …